167
RAQAMLI TEXNOLOGIYALARNING
YANGI
O‘ZBEKISTON
RIVOJIGA
TA’SIRI
Xalqaro ilmiy-amaliy konferensiyasi
Chapter 3 delves into AI-enabled diagnostic systems. It explores how AI can enhance clinical
decision support, aiding healthcare professionals in making more informed decisions. Additionally,
this chapter investigates the role of AI in disease prediction, early detection, and laboratory testing,
showcasing its potential to improve diagnostic capabilities and patient care.
Chapter 4 explores the integration of AI in robotic surgery. It examines the enhanced precision
and accuracy that AI-assisted robotic systems offer, as well as the potential for remote surgery and
telemedicine. This chapter also discusses the future prospects of AI in surgery and its potential
impact on the field.
Chapter 5 focuses on AI-driven drug discovery and precision medicine. It explores how AI can
accelerate the drug development process, facilitating the identification of potential drug candidates.
Additionally, this chapter investigates the role of AI in enabling personalized treatment approaches,
considering factors such as genomics and individual patient data.
Chapter 6 addresses the ethical considerations and challenges associated with AI
implementation in the medical field. It examines issues such as patient privacy, data security,
algorithmic bias, and the need for human oversight. This chapter emphasizes the importance of
ensuring ethical practices and responsible use of AI in healthcare.
Chapter 7 provides an outlook on future directions in AI integration in the medical field. It
explores emerging technologies and their potential impact on healthcare systems. This chapter also
summarizes the key findings and contributions of the thesis.
Finally, the thesis concludes with a concise summary of the main points discussed in each
chapter, highlighting the transformative potential of AI in the medical field and emphasizing the
ethical considerations and challenges that need to be addressed for successful implementation.
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